Triple

T6262886
Position Surface form Disambiguated ID Type / Status
Subject Junín Region E140342 entity
Predicate contains P35 FINISHED
Object Jauja city E418585 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jauja city | Statement: [Junín Region, contains, Jauja city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jauja city
Context triple: [Junín Region, contains, Jauja city]
  • A. Jauja chosen
    Jauja is a historic highland city in central Peru, known as the country’s first Spanish-founded capital and for its colonial architecture and Andean cultural heritage.
  • B. Yuste
    Yuste is a locality in the Extremadura region of western Spain, best known as the retreat where Holy Roman Emperor Charles V spent his final years at the nearby Monastery of Yuste.
  • C. Montefrío
    Montefrío is a picturesque Andalusian town in southern Spain, renowned for its dramatic hilltop setting, whitewashed houses, and historic church and castle overlooking surrounding olive groves.
  • D. San Javier
    San Javier is a Chilean town known for its agricultural activity and wine production in the Maule Region.
  • E. San Javier
    San Javier is a municipality in Spain’s Region of Murcia, known for hosting the Spanish Air and Space Force’s main officer training academy and its nearby coastal and lagoon areas on the Mar Menor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06387fec0819095b47a37b9402aa9 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2445061a481909487fdb04c50493b completed March 24, 2026, 7:59 a.m.
Created at: March 22, 2026, 4:25 p.m.